What are the hardware requirements for Anon 1B?

Anon 1B requires approximately 2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Anon 1B and how large is it?

Anon 1B is developed by scratchyone, a model with 1b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Anon 1B?

Anon 1B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Anon 1B by scratchyone — VRAM 2GB, 32K context

Name: Anon 1B
Author: scratchyone

Anon 1B is an open-source language model by scratchyone. Features: 1b LLM, VRAM: 2GB, Context: 32K, License: gemma, Quantized, LLM Explorer Score: 0.42.

4chan Base-model Base model:google/gemma-3-1b-p... Base model:quantized:google/ge... Dataset:scratchyone/anon-green... En Endpoints compatible Gemma3 Gemma3 text Gguf Greentext Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/scratchyone/anon-1b

Anon 1B Parameters and Internals

LLM Name	Anon 1B
Repository 🤗	https://huggingface.co/scratchyone/anon-1b
Base Model(s)	Gemma 3 1B Pt google/gemma-3-1b-pt
Model Size	1b
Required VRAM	2 GB
Updated	2026-10-20
Maintainer	scratchyone
Model Type	gemma3_text
Model Files	2.0 GB 2.6 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Gemma3ForCausalLM
License	gemma
Context Length	32768
Model Max Length	32768
Transformers Version	5.16.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262145

Rank the Anon 1B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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